BERT in radiology: a systematic review of natural language processing applications
Abstract Introduction BERT (Bidirectional Encoder Representations from Transformers),
introduced in 2018, has revolutionized natural language processing (NLP). Its bidirectional …
introduced in 2018, has revolutionized natural language processing (NLP). Its bidirectional …
[HTML][HTML] Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation
Background: The application of natural language processing in medicine has increased
significantly, including tasks such as information extraction and classification. Natural …
significantly, including tasks such as information extraction and classification. Natural …
A complex history browsing text categorization method with improved BERT embedding layer
Y Wang, Y Zhou, H Qi, D Wang, A Huang - Applied Intelligence, 2025 - Springer
For long texts composed of multiple short fragments, the importance of each fragment to the
classification task varies. Some fragments have higher discriminative power and positively …
classification task varies. Some fragments have higher discriminative power and positively …
Research on text relation extraction of power administrative duty based on improved pre-trained language model
M Yu, C Feng, X Xu, R Tang, S Shi - … Conference on Big Data and Digital …, 2024 - dl.acm.org
Strategies for efficiently and accurately extracting relationships from power system
administrative shift texts are explored using an optimized pre-trained language model, such …
administrative shift texts are explored using an optimized pre-trained language model, such …